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What information is provided to financial institutions and other entities in risk lists?
Risk lists provide information about people and entities that represent a risk, allowing institutions to make informed decisions.
What is the relationship between AML and customer due diligence (CDD) in Panama?
AML and customer due diligence (CDD) are closely related. AML is considered an integral part of CDD, which involves a deeper assessment of clients and their risk level. Both processes are used to prevent money laundering and terrorist financing.
What are the laws in Paraguay that regulate the sanction and hiring of contractors with disciplinary records?
In Paraguay, the Public Procurement Law and other regulations, such as the Law of Ethics in the Exercise of Public Function, regulate the sanction and hiring of contractors with disciplinary records.
What role do financial intelligence reports play in preventing money laundering in Costa Rica?
Financial intelligence reports play an essential role in preventing money laundering in Costa Rica. These reports contain information about suspicious or unusual transactions that could be related to money laundering. The FIU and other institutions receive, analyze and transmit these reports for investigation and monitoring. Financial intelligence reports are a key tool to identify patterns and trends in money laundering, as well as to strengthen cooperation between authorities and the financial sector in the prevention and suppression of money laundering.
What consequences can a food debtor who resides abroad face in Peru?
A maintenance debtor residing abroad may face similar consequences to local residents in Peru, since international agreements allow the execution of maintenance orders internationally.
How can companies in Ecuador address the ethical challenges related to artificial intelligence and big data collection for business decision-making?
Addressing ethical challenges in artificial intelligence (AI) and big data collection in Ecuador involves establishing strong ethical frameworks. Companies must ensure transparency in data collection and use, obtaining appropriate consent and protecting the privacy of individuals. Additionally, it is essential to address potential algorithmic biases and ensure fairness in automated decision-making processes. The involvement of ethical experts in the design of AI systems and the continuous review of practices ensure that these technologies are used ethically and responsibly.
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